Computational Neurosurgery PDF Download

Author: Antonio Di Ieva
Publisher: Springer Nature
ISBN: 3031648927
Category :
Languages : en
Pages : 561

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Author: Concha Bielza
Publisher: Cambridge University Press
ISBN: 110849370X
Category : Computers
Languages : en
Pages : 709

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Trains researchers and graduate students in state-of-the-art statistical and machine learning methods to build models with real-world data.

Author: V. Srinivasa Chakravarthy
Publisher: Springer
ISBN: 9811084947
Category : Technology & Engineering
Languages : en
Pages : 303

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Book Description
The book is a compendium of the aforementioned subclass of models of Basal Ganglia, which presents some the key existent theories of Basal Ganglia function. The book presents computational models of basal ganglia-related disorders, including Parkinson’s disease, schizophrenia, and addiction. Importantly, it highlights the applications of understanding the role of the basal ganglia to treat neurological and psychiatric disorders. The purpose of the present book is to amend and expand on James Houk’s book (MIT press; ASIN: B010BF4U9K) by providing a comprehensive overview on computational models of the basal ganglia. This book caters to researchers and academics from the area of computational cognitive neuroscience.

Author: Edmund T. Rolls
Publisher: Oxford University Press, USA
ISBN: 0198871104
Category : Medical
Languages : en
Pages : 954

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Book Description
In order to understand how the brain works, it is essential to know WHAT is computed by different brain systems, and HOW those computations are performed. This is the aim of Brain Computations: What and How. Pioneering in its approach, this book will be of interest to all scientists interested in brain function and how the brain works

Author: Seyyed Abed Hosseini
Publisher: BoD – Books on Demand
ISBN: 1789231884
Category : Medical
Languages : en
Pages : 106

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Book Description
The book "Cognitive and Computational Neuroscience - Principles, Algorithms and Applications" will answer the following question and statements: System-level neural modeling: what and why? We know a lot about the brain! Need to integrate data: molecular/cellular/system levels. Complexity: need to abstract away higher-order principles. Models are tools to develop explicit theories, constrained by multiple levels (neural and behavioral). Key: models (should) make novel testable predictions on both neural and behavioral levels. Models are useful tools for guiding experiments. The hope is that the information provided in this book will trigger new researches that will help to connect basic neuroscience to clinical medicine.

Author: Kamal Malik
Publisher: CRC Press
ISBN: 100099421X
Category : Technology & Engineering
Languages : en
Pages : 186

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Book Description
The text discusses the techniques of deep learning and machine learning in the field of neuroscience, engineering approaches to study the brain structure and dynamics, convolutional networks for fast, energy-efficient neuromorphic computing, and reinforcement learning in feedback control. It showcases case studies in neural data analysis. Features: Focuses on neuron modeling, development, and direction of neural circuits to explain perception, behavior, and biologically inspired intelligent agents for decision making Showcases important aspects such as human behavior prediction using smart technologies and understanding the modeling of nervous systems Discusses nature-inspired algorithms such as swarm intelligence, ant colony optimization, and multi-agent systems Presents information-theoretic, control-theoretic, and decision-theoretic approaches in neuroscience. Includes case studies in functional magnetic resonance imaging (fMRI) and neural data analysis This reference text addresses different applications of computational neuro-sciences using artificial intelligence, deep learning, and other machine learning techniques to fine-tune the models, thereby solving the real-life problems prominently. It will further discuss important topics such as neural rehabili-tation, brain-computer interfacing, neural control, neural system analysis, and neurobiologically inspired self-monitoring systems. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, information technology, and biomedical engineering.

Author: Paul Cisek
Publisher: Elsevier
ISBN: 0080555020
Category : Medical
Languages : en
Pages : 571

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Book Description
Computational neuroscience is a relatively new but rapidly expanding area of research which is becoming increasingly influential in shaping the way scientists think about the brain. Computational approaches have been applied at all levels of analysis, from detailed models of single-channel function, transmembrane currents, single-cell electrical activity, and neural signaling to broad theories of sensory perception, memory, and cognition. This book provides a snapshot of this exciting new field by bringing together chapters on a diversity of topics from some of its most important contributors. This includes chapters on neural coding in single cells, in small networks, and across the entire cerebral cortex, visual processing from the retina to object recognition, neural processing of auditory, vestibular, and electromagnetic stimuli, pattern generation, voluntary movement and posture, motor learning, decision-making and cognition, and algorithms for pattern recognition. Each chapter provides a bridge between a body of data on neural function and a mathematical approach used to interpret and explain that data. These contributions demonstrate how computational approaches have become an essential tool which is integral in many aspects of brain science, from the interpretation of data to the design of new experiments, and to the growth of our understanding of neural function.• Includes contributions by some of the most influential people in the field of computational neuroscience• Demonstrates how computational approaches are being used today to interpret experimental data• Covers a wide range of topics from single neurons, to neural systems, to abstract models of learning

Author: Basabdatta Sen Bhattacharya
Publisher: Springer
ISBN: 3319200372
Category : Medical
Languages : en
Pages : 329

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Book Description
This book is a collection of articles by leading researchers working at the cutting edge of neuro-computational modelling of neurological and psychiatric disorders. Each article contains model validation techniques used in the context of the specific problem being studied. Validation is essential for neuro-inspired computational models to become useful tools in the understanding and treatment of disease conditions. Currently, the immense diversity in neuro-computational modelling approaches for investigating brain diseases has created the need for a structured and coordinated approach to benchmark and standardise validation methods and techniques in this field of research. This book serves as a step towards a systematic approach to validation of neuro-computational models used for studying brain diseases and should be useful for all neuro-computational modellers.

Author: James M. Bower
Publisher: Springer Science & Business Media
ISBN: 9780306459191
Category : Medical
Languages : en
Pages : 672

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Book Description
Publishes 103 of the 196 papers presented at the conference, representing a cross-section of the general areas considered: subcellular, cellular, network, systems, and methodology. Specific topics include perturbative M-sequences for auditory systems identification, representing odor quality space a

Author: Antonio Di Ieva
Publisher: Springer Nature
ISBN: 3031476069
Category :
Languages : en
Pages : 999

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Book Description